transporting-objects

transporting-objects is an Embedded, IoT & robotics skill for AI agents, published by graph-robots in the open-robot-skills repository on GitHub. Skillspace rates transporting-objects C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Move the currently-held object to a destination and release. The gripper enters this subgraph holding the object; on exit the object has been placed. For a walled container (basket / bin / box / tote) the default is a straight-Z descent to inside the walls (transport_descend_linear → release); for placement ONTO a surface or into a described sub-region it computes an explicit drop pose (compute_drop → move_above → release). Use after a successful grasp when the destination has a known OBB. When the destination is a sub-region described in natural language (e.g. "the left compartment of the caddy", "to the left of the plate", "the inside of the top drawer"), an optional VLM-grounded perceive_zone state localizes the zone before the drop pose is computed.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
22

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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